add explanation

app.py

@@ -9,9 +9,7 @@ import black  # Add black import
 
 # Initialize the inference client
 HF_TOKEN = os.getenv("HF_TOKEN")
-HF_API_URL = os.getenv(
-    "HF_API_URL", "https://sm6g3bin692qbz80.us-east-1.aws.endpoints.huggingface.cloud"
-)
+HF_API_URL = os.getenv("HF_API_URL", "Qwen/Qwen2.5-Coder-32B-Instruct")
 client = InferenceClient(api_key=HF_TOKEN)
 
 # Load questions from Hugging Face dataset
@@ -97,7 +95,7 @@ def check_code(
 
         # Add the explanation to the status text with emoji
         explanation = response.split("\n", 1)[1] if "\n" in response else ""
-        status = "✅ Correct!" if is_correct else "❌ Incorrect!"
+        status = "✅ Correct!" if is_correct else "❌ Incorrect!" + f"\n\n{explanation}"
         gr.Info(f"{status}\n\n{explanation}")
 
         return is_correct
@@ -106,7 +104,7 @@ def check_code(
         gr.Warning(f"Error checking code: {str(e)}")
         # Fall back to simple string comparison if LLM fails
         is_correct = formatted_user_code.strip() == formatted_solution.strip()
-        status = "✅ Correct!" if is_correct else "❌ Incorrect!"
+        status = "✅ Correct!" if is_correct else "❌ Incorrect!" + f"\n\n{explanation}"
         gr.Info(f"{status} (Fallback comparison)")
         return is_correct